Arun Kumar Sivaraman
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View article: Efficient Task Scheduling in Cloud Computing Using a Cnn-Enhanced Sine Cosine Harris Hawk Optimization Algorithm
Efficient Task Scheduling in Cloud Computing Using a Cnn-Enhanced Sine Cosine Harris Hawk Optimization Algorithm Open
View article: Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection
Intelligent Bi-LSTM with Architecture Optimization for Heart Disease Prediction in WBAN through Optimal Channel Selection and Feature Selection Open
Wireless Body Area Network (WBAN) is a trending technology of Wireless Sensor Networks (WSN) to enhance the healthcare system. This system is developed to monitor individuals by observing their physical signals to offer physical activity s…
View article: Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental Sustainability
Clustering, Routing, Scheduling, and Challenges in Bio-Inspired Parameter Tuning of Vehicular Ad Hoc Networks for Environmental Sustainability Open
Vehicular ad hoc networks (VANETs) are wireless networks of automotive nodes. Among the strategies used in VANETs to increase network connectivity are broadcast scheduling, data aggregation, and vehicular node clustering. In the context of…
View article: Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm
Machine-Learning-Based Diabetes Mellitus Risk Prediction Using Multi-Layer Neural Network No-Prop Algorithm Open
Over the past few decades, the prevalence of chronic illnesses in humans associated with high blood sugar has dramatically increased. Such a disease is referred to medically as diabetes mellitus. Diabetes mellitus can be categorized into t…
View article: Comparative Analysis of Execution of CNN-Based Sanguine Data Transmission with LSB-SS and PVD-SS
Comparative Analysis of Execution of CNN-Based Sanguine Data Transmission with LSB-SS and PVD-SS Open
The intact data transmission to the authentic user is becoming crucial at every moment in the current era. Steganography; is a technique for concealing the hidden message in any cover media such as image, video; and audio to increase the p…
View article: Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map
Securing 3D Point and Mesh Fog Data Using Novel Chaotic Cat Map Open
With the rapid evolution of Internet technology, fog computing has taken a major role in managing large amounts of data. The major concerns in this domain are security and privacy. Therefore, attaining a reliable level of confidentiality i…
View article: A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0
A Review on Data-Driven Quality Prediction in the Production Process with Machine Learning for Industry 4.0 Open
The quality-control process in manufacturing must ensure the product is free of defects and performs according to the customer’s expectations. Maintaining the quality of a firm’s products at the highest level is very important for keeping …
View article: Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network
Multi-attribute Group Decision-making Based on Hesitant Bipolar-valued Fuzzy Information and Social Network Open
Fuzzy sets have undergone several expansions and generalisations in the literature, including Atanasov's intuitionistic fuzzy sets, type 2 fuzzy sets, and fuzzy multisets, to name a few. They can be regarded as fuzzy multisets from a forma…
View article: An Ensemble Based Approach for Sentiment Classification in Asian Regional Language
An Ensemble Based Approach for Sentiment Classification in Asian Regional Language Open
In today’s digital world, millions of individuals are linked to one another via the Internet and social media. This opens up new avenues for information exchange with others. Sentiment analysis (SA) has gotten a lot of attention during the…
View article: Deep Learning and Computer Vision based Model for Detection of Diseased Mango Leaves
Deep Learning and Computer Vision based Model for Detection of Diseased Mango Leaves Open
Mangifera Indica, commonly known as mangoes, is the most commercialized export fruit crop in India, accounting for about 40% of the total global production. Due to its widespread production, it is vulnerable to a variety of diseases that a…
View article: Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network
Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network Open
One of the fast-growing disease affecting women’s health seriously is breast cancer. It is highly essential to identify and detect breast cancer in the earlier stage. This paper used a novel advanced methodology than machine learning algor…
View article: A New Method for Centrality Measurement Using Generalized Fuzzy Graphs
A New Method for Centrality Measurement Using Generalized Fuzzy Graphs Open
The fuzzy graph is the foundation of many actual structures such as networking, picture planning, and so on. Generalized fuzzy graphs (GFG) are ideal for avoiding certain constraints of fuzzy graphs. Social networks are a useful and powerf…
View article: Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things
Decentralized Link Failure Prevention Routing (DLFPR) Algorithm for Efficient Internet of Things Open
This work implements a Decentralized Links Failure Prevention (DLFP) routing algorithm to promote enhanced and efficient Internet of Things (IoT). The work increases the mobility as well as an opportunity for loss of IoT node meeting links…
View article: Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction
Prognostic Kalman Filter Based Bayesian Learning Model for Data Accuracy Prediction Open
Data is always a crucial issue of concern especially during its prediction and computation in digital revolution. This paper exactly helps in providing efficient learning mechanism for accurate predictability and reducing redundant data co…
View article: Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors
Effective Classification of Synovial Sarcoma Cancer Using Structure Features and Support Vectors Open
In this research work, we proposed a medical image analysis framework with two separate releases whether or not Synovial Sarcoma (SS) is the cell structure for cancer. Within this framework the histopathology images are decomposed into a t…
View article: A Study on Interval‐Valued Fuzzy Graph with Application in Energy Industry Management
A Study on Interval‐Valued Fuzzy Graph with Application in Energy Industry Management Open
In this paper, we define the concept of level graphs on interval‐valued fuzzy graphs (IVFGs) and introduce the notions of [ α , β ]−[ α , β ]− homomorphism, isomorphism, weak isomorphism, and co‐weak isomorphism of IVFGs by [ α , β ]− homo…
View article: Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path
Time Optimization of Unmanned Aerial Vehicles Using an Augmented Path Open
With the pandemic gripping the entire humanity and with uncertainty hovering like a black cloud over all our future sustainability and growth, it became almost apparent that though the development and advancement are at their peak, we are …
View article: Abnormality Identification in Video Surveillance System using DCT
Abnormality Identification in Video Surveillance System using DCT Open
In the present world, video surveillance methods play a vital role in observing the activities that take place across secured and unsecured environment. The main aim with which a surveillance system is deployed is to spot abnormalities in …
View article: Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features
Synovial Sarcoma Classification Technique Using Support Vector Machine and Structure Features Open
Digital clinical histopathology technique is used for accurately diagnosing cancer cells and achieving optimal results using Internet of Things (IoT) and blockchain technology. The cell pattern of Synovial Sarcoma (SS) cancer images always…
View article: IoT and Deep Learning on Sensor Data
IoT and Deep Learning on Sensor Data Open
Internet of things (IoT) combined with machine learning algorithms has several applications in various fields. Extensive research and projects are available in Intrusion detection systems (IDS). This paper focuses on collecting data from v…
View article: An Effective Denoising and Enhancement Strategy for Medical Image Using Rl-Gl-Caputo Method
An Effective Denoising and Enhancement Strategy for Medical Image Using Rl-Gl-Caputo Method Open
At present, fractional differential is the effective mathematical approach which deals with the factual problems. This projected technique employs the fractional derivatives definitions Riemann-Liouville (R-L), Grunwald-Letnikov (G-L) and …
View article: FPGA Implementation of Protected Compact AES S–Box Using CQCG for Embedded Applications
FPGA Implementation of Protected Compact AES S–Box Using CQCG for Embedded Applications Open
In this work, we obtain an area proficient composite field arithmetic Advanced Encryption Standard (AES) Substitution (S) byte and its inverse logic design. The size of this design is calculated by the number of gates used for hardware imp…
View article: Design and Performance Analysis of Low Power High Speed Adder and Multiplier Using MTCMOS in 90nm, 70nm, 25nm and 18nm Regime
Design and Performance Analysis of Low Power High Speed Adder and Multiplier Using MTCMOS in 90nm, 70nm, 25nm and 18nm Regime Open
Nowadays, VLSI technology mainly focused on High-Speed Propagation and Low Power Consumption. Addition is an important arithmetic operation which plays a major role in digital application. Adder is act as an important role in the applicati…
View article: Proficient Mining of Informative Gene from Microarray Gene Expression Dataset Using Machine Intelligence
Proficient Mining of Informative Gene from Microarray Gene Expression Dataset Using Machine Intelligence Open
The quick improvement of DNA microarray innovation empowers analysts to quantify the expression levels of thousands of genomic data and permits scientists effortlessly pick up and understanding the mind-boggling prediction in tumors based …
View article: Energy and Bandwidth Based Link Stability Routing Algorithm for IoT
Energy and Bandwidth Based Link Stability Routing Algorithm for IoT Open
Internet of Things (IoT) is becoming popular nowadays for collecting and sharing the data from the nodes and among the nodes using internet links. Particularly, some of the nodes in IoT are mobile and dynamic in nature. Hence maintaining t…